Poster Session B
Tuesday, October 6th
12:00 – 14:00 (standing lunch from 12:00 until 13:00) · 30 posters
You can download the abstract of the poster (PDF format) by clicking on the titles.
* Poster accompanying a talk given by the same presenter on this day.
A · Mechanisms, predictors and learning success in neurofeedback
B.01 – ID52: Marianna Georgiou (Uniklinik RWTH Aachen, Germany)
Targeting emotion regulation with fNIRS neurofeedback training – a feasibility study in healthy participants
B.02 – ID99: Camille Muller (CerCo, Univ. Toulouse / Empenn, Rennes, France)
Feasibility and effects of a multimodal EEG-fNIRS neurofeedback platform for motor imagery
B.03 – ID120: Florian Wüthrich (University Hospital of Old Age Psychiatry, Bern, Switzerland) Resting-state fMRI changes induced by real-time fMRI neurofeedback
B.04 – ID42: Changxiao Kuai (University of Groningen, the Netherlands) Electrophysiological Fingerprints of Good Executive Function Across Multiple Tasks Identified Using Interpretable Machine Learning
B · Multivariate decoding, AI-driven and next-generation feedback signals
B.06 – ID135: Nitzan Lubianiker (Yale Univ. / Princeton Univ., USA)
Reduction of Negative Attentional Bias in Depression with Decoding-based fMRI-Neurofeedback
B.07 – ID106: Xuelei Wang (RWTH Aachen University, Germany)
Searchlight optimization using representational similarity analysis for subject-level voxel selection in emotional state decoding
B.08 – ID96: Jaroslav Krc (Masaryk University Brno, Czech Republic / University of Groningen)
Within- and Cross-Session Single-Trial Decoding of Working-Memory Updating
B.10 – ID70: Saampras Ganesan (Laureate Institute for Brain Research, Tulsa, Oklahoma, USA)
EEG-to-fMRI Translation: Methodological Foundations for Scalable Multi-Modal Real-Time Neurofeedback
C · Signal quality, real-time methods and tooling
B.11* – ID94: Stephen M. LaConte (Virginia Tech, Roanoke, USA)
Tasks as controllers: Engineering real-time fMRI to validate Resting State Network Dynamics
B.12 – ID113: Gracia Khoury (Univ. Rennes / Empenn, France)
Initial Study Characterization of Residual Noise on a Phantom in Simultaneous EEG-fMRI Using Carbon Wire Loops
B.13* – ID133: Kathrin Kostorz (University of Vienna, Austria)
The speed limit of dynamic and real-time synchrony imaging in fNIRS
B.14 – ID97: Irtisha Chakraborty (Basque Center on Cognition, Brain and Language, San Sebastián, Spain)
Development of an EEG-neurofeedback to boost Interhemispheric Connectivity during Phonological processing: Validation in a Pediatric Population
B.15 – ID60: Bruno Neuner (Charité–Universitätsmedizin Berlin, Germany)
Microstate quantifiers under total intravenous (TIVA) versus inhalational anaesthesia: an observational study in 48 patients undergoing major surgery
B.16 – ID145: Camille Marchal (CIBM / University of Geneva, Switzerland)
Impact of automated EEG denoising on dementia classification performance
D · Psychiatric, affective and clinical applications
B.17 – ID86: Sarah Paprotna (Yale University, New Haven, USA)
Supplementary motor area regulation training using fMRI neurofeedback for Tourette Syndrome
B.18 – ID100: Yulia Lerner (Tel Aviv Sourasky Medical Center / Sagol Brain Institute, Israel)
Real-World Clinical Outcomes of Limbic Self-Neuromodulation for Symptom Relief in Anxiety Disorders
B.19* – ID30: Eleonora De Filippi (Univ. Strasbourg, France / Parc Taulí, Sabadell, Spain)
Restoring emotional stability through Neurofeedback and AI for transformative Empowerment
B.20 – ID114: Mathilde Rodrigues Da Rocha (INSERM U955 / NeuroSpin, Créteil, France)
Pre-unblinding assessment of feasibility, data quality, and neural modulation in an ongoing RT-fMRI neurofeedback trial for bipolar disorder: interim findings from NEUROFEED-BD
B.21 – ID128: Camellia N. Ibrahim (RWTH Aachen University, Germany)
A novel virtual environment rt-fMRI neurofeedback paradigm
B.23 – ID38: Johanne Lundager Axelsen (University of Southern Denmark, Odense, Denmark)
Neural networks involved in painful diabetic neuropathy: A systematic review
B.24 – ID44: Arne Edvardsson (Primary Health Care Region Västra Götaland, Borås, Sweden)
Designing a Sham-Controlled Study of Infra-Slow Neurofeedback: Learning Trajectories, Sleep Outcomes, and Neurophysiological Change
B.25 – ID85: Toshinori Chiba (ATR Institute International, Kyoto, Japan)
What Should Neurofeedback Control in Psychiatry? A Low-Dimensional Brain-State Framework for State-Dependent Intervention
B.26 – ID146: Federico Mengozzi (EPFL, Geneva, Switzerland)
Dynamic brain network states during fMRI neurofeedback in chronic tinnitus: insights from a multi-seed co-activation pattern (CAP) analysis
E · Neurorehabilitation, stroke and BCI
B.27* – ID101: Yingying Huang (University of Glasgow, UK)
Comparing Real-Time fMRI Connectivity Neurofeedback of M1–Thalamus and M1–SMA Pathways during Motor Imagery
B.28* – ID131: Vincent Auboiroux (CEA Leti Clinatec, Univ. Grenoble Alpes, France)
Real-time OPM-MEG motor control of stroke patients before BCI implantation
B.29 – ID112: Yi-Xing Liu (Singapore-ETH Centre, Singapore)
EEG-based Biomarkers of Fear of Falling in Immersive VR Environments among Older Adults
F · Cognition, perception and memory
B.30 – ID83: Tomer Yaari (Weizmann Institute of Science, Rehovot, Israel)
Can an Unconscious Behavior Be Modified During Sleep? Evidence from Closed-Loop Olfactory Biofeedback
B.31 – ID50: Taiki Oka (University of Tübingen, Germany)
Assessing the impact of endogenous BOLD fluctuations in the locus coeruleus on decision-making and metacognition
B.32 – ID95: Maëva Moyne (University of Geneva, Switzerland)
Alpha-based neurofeedback to enhance visuospatial attention: protocol, feasibility, and preliminary findings
B.33 – ID45: Maya Yilmaz (University of Bern, Switzerland)
Exploring the Role of the Prefrontal Cortex in Intentional Forgetting: A Combined HD-tDCS and 7T fMRI Study